Pose Estimation For Gestures
Pose Estimation for Gestures is a computational method within gesture recognition that determines the spatial configuration and orientation of human body parts—particularly hands and arms—using sensor or visual data to model anatomically plausible poses as a basis for interpreting intentional gestural actions.
172
Publications
7.4K
Citations
577
Authors
242
Institutions
Publications per year
2017–2026
79
Parents
172
1–5 of 172
577
3
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 577
242

Zhejiang University
Hangzhou, China
5 h-index
13 publications
442 citations
The University of Osaka
Osaka, Japan
4 h-index
8 publications
631 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
10 publications
473 citations
University of Maryland, College Park
College Park, United States
4 h-index
12 publications
518 citations
University of California San Diego
San Diego, United States
3 h-index
7 publications
524 citations

University of Freiburg
Freiburg im Breisgau, Germany
3 h-index
3 publications
131 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
3 h-index
10 publications
491 citations
Tsinghua University
Beijing, China
3 h-index
10 publications
288 citations
1–8 of 242
5 publications · 523 citations
5
h-index
4 publications · 131 citations
4
h-index
IMWUT · 3 publications · 108 citations
3
h-index
3 publications · 306 citations
3
h-index
3 publications · 186 citations
3
h-index
1–5